Nonparametric consent criteria

The monograph discusses the application of nonparametric criteria of agreement (Kolmogorov, Cooper, Kramer-Mises -Smirnov, Watson, Anderson -Darling, Zhang) when testing simple and complex hypotheses. The appendix contains tables containing percentage points and statistical distribution models necessary for the correct use of criteria when testing simple and, most importantly, various complex hypotheses. In comparison with the first edition, more attention is paid to the application of criteria in non-standard application conditions, in particular for the analysis of large samples. It is shown that in applications, the properties of criteria can change significantly due to the presence of rounding errors, and this must be taken into account when forming statistical conclusions. Following the recommendations in data analysis will ensure the correctness of statistical conclusions and increase their validity. It is designed for specialists who, in one way or another, face issues of statistical data analysis, processing of experimental results, the use of statistical methods to analyze various aspects and trends of the surrounding reality in their activities. It will be useful for engineers, researchers, specialists of various profiles (physicians, biologists, sociologists, economists, etc.), university teachers, graduate students and students.